Mode-Adaptive Surface Pattern Design for Enhanced Triboelectric Nanogenerator Performance by Masoumeh Karimi Kisomi, Muhammad Sohaib Roomi, M. A. Parvez Mahmud

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Noise-Robust Local Ternary Pattern Center for Noisy Texture Classification by Farhan A. Alenizi, Mokhtar Mohammadi, Mohammad Hossein Shakoor

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Infiltrative tumour growth pattern correlates with poor outcome in oesophageal cancer by Pieter Demetter, Francesco Sclafani, Maelle Anciaux, Roland De Wind, Maria Gomez Galdon, Sylvie Vande Velde, Gaspard Lens, Ligia Craciun, Amélie Deleruelle, Denis Larsimont, Tom Lenaerts, Amélie Deleporte, Vincent Donckier, Alain Hendlisz, Caroline Vandeputte

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Reversible Adversarial Examples with Minimalist Evolution for Recognition Control in Computer Vision by Shilong Yang, Lu Leng, Ching-Chun Chang, Chin-Chen Chang

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COMPUTED TOMOGRAPHY IN THE DIAGNOSIS OF CONGENITAL CYSTIC ADENOMATOID MALFORMATION OF THE LUNG IN CHILDREN by N. A. Il'ina, A. L. Alekseeva

“…We describe a case of cystic adenomatoid malformation of the lung in a child, by discussing the capabilities of chest computed tomography in the diagnosis of lung malformations in children. …”
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The Evolution of Computer-assisted Detection of Pulmonary Embolism from Volume to Voxel by Condrea Florin, Rapaka Saikiran, Itu Lucian, Leordeanu Marius

“…Pulmonary embolism (PE) remains a significant cause of cardiovascular mortality, with untreated cases showing mortality rates of up to 30%. The evolution of computer-assisted detection (CAD) for PE has transformed dramatically over the past decades, progressing from simple pattern recognition to sophisticated deep learning approaches. …”
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Computational functions of precisely balanced neuronal microcircuits in an olfactory memory network by Claire Meissner-Bernard, Bethan Jenkins, Peter Rupprecht, Estelle Arn Bouldoires, Friedemann Zenke, Rainer W. Friedrich, Thomas Frank

“…These results are consistent with balanced neuronal assemblies in pDp and reveal novel computational functions of inhibitory microcircuits in an autoassociative network.…”
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Coding for Young Learners: Enhancing Computational Thinking and Creativity in Elementary Education by Hilmiyah, Abd Muhith, Syamsul Bahri

“…Coding skills have become essential for young learners to develop computational thinking and creativity. This study explores the implementation of coding education to enhance computational thinking among elementary school students, particularly at SD Negeri 21 Dauh Puri Denpasar, where technological access is limited. …”
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Computational model of a 3D dosimetry system - ArcCHECK® by Amanda Cristina Mazer, Marcos Vinicius Nakaoka Nakandakari, Victor Augusto Bertotti Ribeiro, Paulo de Tarso Dalledone Siqueira, Julian Marco Barbosa Shorto, Hélio Yoriyaz

“…This work presents two computational models for Monte Carlo simulations to predict detection responses in the QA procedure using the ArcCHECK. …”
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TEACHING COMPUTATIONAL THINKING IN SAUDI ARABIAN SCHOOLS USING SMARTPHONE APPS by Abdullah Alenezi

“…Results have suggested that smartphone applications have a positive influence on students’ computational skills. An enhanced standard is also noticed regarding the students’ aspects that involve problem analysis, identification of pattern, and formation of algorithm. …”
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Fault-tolerant and mobility-aware loading via Markov chain in mobile cloud computing by Ning Wang, Ya Li, Yuanbang Li, Huanxin Nie

“…However, mobile devices’ limited memory, computing power, and battery life pose significant challenges to their widespread use. …”
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A Two-Phase Pattern Generation and Production Planning Procedure for the Stochastic Skiving Process by Tolga Kudret Karaca, Funda Samanlioglu, Ayca Altay

“…In the first phase, the dragonfly algorithm constructs minimal patterns that serve as an input for the next phase. …”
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Intelligent Photolithography Corrections Using Dimensionality Reductions by Parag Parashar, Chandni Akbar, Tejender S. Rawat, Sparsh Pratik, Rajat Butola, Shih H. Chen, Yung-Sung Chang, Sirapop Nuannimnoi, Albert S. Lin

“…Also, we implement a pure machine learning approach where the input masks are directly mapped to the output etched patterns. While one photolithographic mask can generate many experimental patterns at once, our pure ML-based approach can shorten the trial-and-error period in the photolithographic correction. …”
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Analyzing the learning behavior patterns of business english learners using deep learning technology by Xiaohui Zeng

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Intelligent pattern design using 3D modelling technology for urban sculpture designing by Wei Wan

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Brain tumor classification using deep convolutional neural networks by M. Nurtay, M. Kissina, A. Tau, A. Akhmetov, G. Alina, N. Mutovina

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Tensor Network Methods for Hyperparameter Optimization and Compression of Convolutional Neural Networks by A. Naumov, A. Melnikov, M. Perelshtein, Ar. Melnikov, V. Abronin, F. Oksanichenko

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The evolution of cloud computing in education: from Hype Cycle to mainstream adoption (2012-2024) by Olha V. Chorna

“… This paper presents a longitudinal analysis of cloud computing adoption in educational contexts from 2012 to 2024, examining how these technologies have progressed through Gartner's Hype Cycle stages to become mainstream educational tools. …”
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From predictive analytics to emotional recognition–The evolving landscape of cognitive computing in animal welfare by Suresh Neethirajan

“…The focus is on the strategic application of digital imaging and artificial intelligence to discern subtle behavioral patterns and micro-expressions in livestock, offering a predictive window into their emotional states. …”
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Stable recurrent dynamics in heterogeneous neuromorphic computing systems using excitatory and inhibitory plasticity by Maryada, Saray Soldado-Magraner, Martino Sorbaro, Rodrigo Laje, Dean V. Buonomano, Giacomo Indiveri

“…Abstract Many neural computations emerge from self-sustained patterns of activity in recurrent neural circuits, which rely on balanced excitation and inhibition. …”
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